Visualization and Reproducible Reports in R
Session 4
April 9th, 2020
Lauren Yee is multifaceted researcher and data scientist. She currently works in the consulting industry and designs projects around data visualization, dashboards and ecological and spatial analysis.
Ann Greenwood is the Education and Training Lead for Population Data BC. She manages a variety of education and training services for researchers and population health professionals . Services include an online certificate course in Population Health Data Analysis, live webinar-based courses, free online self -paced workshops, colloquium presentations/webinars and in-person workshops.
Tabsets
Table of Contents
gganimate extends ggplot2 to include animation.
transitions are functions that interpret the plot data to distribute it over a number of frames
transition_states() splits up the plot data by a discrete variable and animates between different states
ease_aes() define the velocity for how the aesthetics change during an animation
enter and exit modify how data appearing and exiting the plot are animated
p <- ggplot(iris, aes(x = Petal.Width, y = Petal.Length)) +
geom_point(aes(colour = Species))
anim <- p +
transition_states(Species,
transition_length = 2,
state_length = 1)
animate(anim)
